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  [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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  # ckpts/llama2-13b-viettel_v3.2_1epoch
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- This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3534
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- ## Model description
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- More information needed
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
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- ## Training procedure
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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  # ckpts/llama2-13b-viettel_v3.2_1epoch
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+ This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on the our custom dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3534
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training: